Modular SKILL.md instructions that ground AI agents in Android development best practices from developer.android.com.
A free, MIT-licensed course of 542 lessons on AI engineering, implementing model internals, retrieval, and agent runtimes from scratch.
Original Apollo 11 Guidance Computer source code for the Command Module (Comanche 055) and Lunar Module (Luminary 099).
A curated list of LLM APIs that offer permanent free tiers for text inference, with base URLs, models, and rate limits.
Code examples for the O'Reilly book Hands-On Large Language Models, covering LLM concepts and practical techniques in Jupyter notebooks.
An interactive Jupyter notebook course teaching prompt engineering techniques for Anthropic's Claude models.
A Rime input scheme for Chinese pinyin built on a tone-annotated, frequency-tuned dictionary and grammar model, with Base, Pro, Lite and Pure editions.
A study guide and interview-prep curriculum for AI/ML technical roles at big tech, covering coding, ML breadth, system design, and behavioral rounds.
A collection of examples, tutorials, and apps for building with Liquid AI's open-weight LFM models and the LEAP SDK on laptops, mobile, and edge devices.
Jupyter notebooks and code accompanying Ed Donner's 8-week LLM engineering course, from local models through building LLM applications.
A free, self-paced computer science curriculum assembled from online courses and books, modeled on undergraduate CS degree requirements.
A beginner curriculum teaching the Model Context Protocol (MCP) with hands-on code examples in C#, Java, JavaScript, Rust, Python, and TypeScript.
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
A curated collection of prompts, video-generation techniques, and API guides for ByteDance's Seedance 2.0 AI video model.